Trino (SQL Query Engine)
Connects AI systems to Trino/Iceberg databases for SQL execution, data exploration, and table optimization with seamless connectio
MCP Trino Server provides seamless integration between AI assistants and Trino/Iceberg databases through a standardized interface. Developed by alaturqua, this Python implementation exposes Trino's querying capabilities and Iceberg's table maintenance operations as MCP resources and tools, enabling data exploration, SQL execution, and table optimization. The server handles connection management, query formatting, and catalog navigation while supporting environment-based configuration, making it particularly valuable for interactive data analysis, automated table maintenance, and building AI-powered tools that interact with Trino databases.
Source
Repository: https://github.com/alaturqua/mcp-trino-python
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